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Systems engineering parametric cost model

a parametric cost model and system engineering technology, applied in the field of parametric cost models, can solve the problems of reducing the overall utility of the model, lack of methodical approach, and insufficient accuracy of the model generated by prior art methods

Inactive Publication Date: 2006-11-16
RAYTHEON CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0015] For example, the tasks to be used for estimation purposes comprise one or more chosen among a Management plan, a System design, a System analysis, a Specification and interface, a Status Report and Revisions, an Assembly, Instrumentation and Test Requirements Plans and Procedures, a Test Equipment Facilities and Delivery, an Assembly Integration and Test, a Validation, and a Post Delivery and Support.

Problems solved by technology

As the complexity of programs increases, the results generated by prior art methods have not been sufficiently accurate.
This lack of a methodical approach to the estimation of total costs for a new program has introduced errors and inaccuracies in the estimation process reducing its overall utility.

Method used

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Examples

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Embodiment Construction

[0027] This invention describes a method for estimating the cost of completion of a new program. The program has hardware / software, systems development, new and old systems / subsystems (elements). The estimated cost of completion of the new program is computed for the end of a time interval of the new program. A plurality of tasks need to be completed for said new program. The new program also has program phases. Some of the new elements can be derived or be based on old, existing elements from an old, previous program. The tasks to be completed are identified at the start of the cost estimation process. The overview of the method for estimating the cost of completion of a new program is shown in FIG. 1.

[0028] The first step is identifying particular tasks relevant to the new program, including those based on old programs having similar characteristics. A typical, exemplary list of such tasks, relevant to a major program are the following 10, as detailed in FIG. 1. These tasks will ...

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PUM

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Abstract

A method for estimating the cost of completion at the end of a first time interval of a new program uses a plurality of tasks, program phases and new elements. The estimation steps require making an initial cost allocation for each task within the new program. Then, tailoring the cost allocation for the program phases to obtain a normalized value. Subsequently, compute a schedule aggressiveness; a requirements volatility; and a complexity, where the complexity identifies new elements within the new program. Next, combine the normalized value, the schedule aggressiveness, the requirements volatility, and the complexity to extrapolate an end cost for each of the tasks from the initial allocation for the end of the first interval. After summing the end cost for each of the tasks to obtain a first value, adjusting the first value using a resource needs ratio and a calibration factor to arrive at an estimated cost of completion of the new program at the end of the first interval.

Description

BACKGROUND OF THE INVENTION [0001] 1. Field of Invention [0002] This invention is in the field of parametric models for estimation of cost to completion of development programs having complex hardware and software components. [0003] 2. Description of the Related Art [0004] Estimation of total cost to completion of development programs requiring the design and implementation of complex hardware and software as well as their integration is necessary for program bidding, planning and execution. Historically, there has been an attempt at using a bottoms up approach at estimating the cost of new development programs from prior experience with completed programs. The prior experience of engineers doing similar programs was used to arrive at a cost estimate. As the complexity of programs increases, the results generated by prior art methods have not been sufficiently accurate. [0005] Generally no consistent methods are known for treating each variable, looking at its relevance in the conte...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06F17/00
CPCG06Q30/0283G06Q10/06
Inventor VINCENZINI, IVAN J.ERNSTOFF, MICHAEL N.DE WOLF, LEIF R.
Owner RAYTHEON CO
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